S7 Data Structures for Diffusion MRI Tractography // Provides three S7 classes streamline, bundle, and bundle_set for representing diffusion MRI tractography data in R, together with a concise set of methods for computing shape descriptors (arc-length, curvature, torsion, sinuosity), the Hausdorff distance between streamlines, arc-length reparametrization of streamlines and bundles onto uniform grids, combination of streamlines or bundles into a single bundle, combination of bundles from multiple subjects or sessions into a bundle_set, and coercion to and from the dwiFiber S4 class of the 'dti' package. See Dell'Acqua, F., Descoteaux, M. and Leemans, A. (2024) "Handbook of Diffusion MR Tractography" doi:10.1016/C2018-0-02520-7 for more about the mathematical and computational underpinnings of diffusion MRI tractography.